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基于支持向量机与分层遗传算法的斜拉桥全结构损伤分步识别

DOI: 10.13197/j.eeev.2015.06.71.liyq.010, PP. 71-77

Keywords: 斜拉桥,损伤识别,支持向量机,分层遗传算法,子结构

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Abstract:

为了实现斜拉桥全结构的损伤识别,提出一种支持向量机与分层遗传算法相结合的分步识别方法。该方法首先按结构的材料特性将斜拉桥分为主梁、索塔、拉索三类子结构,利用支持向量机的分类特性判定损伤的来源,确定损伤属于某一类子结构;然后,应用分层遗传算法对子结构中的单元进行损伤位置与损伤程度的识别。以实验室独塔斜拉桥模型作为研究对象进行数值仿真,结果表明采用支持向量机方法能较准确的对主梁、索塔、拉索三类子结构的损伤进行分类,确定损伤的来源;分层遗传算法能快速有效的完成斜拉桥某一子结构中损伤单元的定位与识别;两种算法结合的分步识别方法,实现了斜拉桥全结构的损伤识别,同时分步识别策略减少了支持向量机训练样本与遗传算法中初始种群的规模,提升了寻优效率。

References

[1]  Meruane V, Heylen W. An hybrid real genetic algorithm to detect structural damage using modal properties[J]. Mechanical Systems and Signal Processing, 2011, 25:1559-1573.
[2]  Villalba J D, Laier J E. Localising and quantifying damage by means of a multi-chromosome genetic algorithm[J]. Advances in Engineering Software, 2012, 50:150-157.
[3]  Chen B, Nagarajaiah S. Observer-based structural damage detection using genetic algorithm[J]. Structural Control and Health Monitoring, 2013, 20:520-531.
[4]  uezas, Fernando S. Damage detection with genetic algorithms taking into account a crack contact model[J].Engineering Fracture Mechanics, 2011, 78:695-712.
[5]  刘春城,刘佼,李宏男.基于支持向量机的大型输电铁塔损伤识别方法研究[J].应用基础与工程科学学报, 2010, 18(4):616-625. LIU Chuncheng, LIU jiao, LI Hongnan. Damage identification for transmission tower based on support vector machines[J]. Journal of Basic Science and Engineering, 2010, 18(4):616-625.(in Chinese)
[6]  李小平,郑世杰.基于遗传算法和拓扑优化的结构多孔洞损伤识别[J].振动与冲击, 2011, 30(7):201-204 LI Xiaoping, ZHENG Shijie. Multi-hole damage detection in structures based on genetic algorithms and topology optimization[J]. Journal of Vibration and Shock, 2011, 30(7):201-204.(in Chinese)
[7]  刘春城,刘佼.基于支持向量机的大跨度拱桥损伤识别方法研究[J].振动与冲击, 2010, 29(7):174-178. LIU Chuncheng, LIU Jiao. Damage identification of a long-span arch bridge based on support vector machine[J]. Journal of Vibration and Shock, 2010, 29(7):174-178.(in Chinese)
[8]  张效忠,姚文娟,田芳.基于时变ARMA模型与支持向量机的结构损伤识别[J].应用基础与工程科学学报, 2013, 21(6):1094-1102. ZHANG Xiaozhong, YAO Wenjuan, TIAN Fang. Structural Damage Identification based on time-varying ARMA model and support vector machine[J]. Journal of Basic Science and Engineering, 2013, 21(6):1094-1102.(in Chinese)
[9]  付春雨,单德山,李乔.基于支持向量机的静力损伤识别方法[J].中国铁道科学, 2010, 31(5):47-53. FU Chunyu, SHAN Deshan, LI Qiao.The static damage identification method based on the support vector machine[J]. China Railway Science, 2010, 31(5):47-53.(in Chinese)
[10]  黄民水,吴?,朱宏平.噪声影响下基于改进损伤识别因子和遗传算法的结构损伤识别[J].振动与冲击, 2012, 31(21):168-174. HUANG Minshui, WU Le, ZHU Hongping. Structural damage identification based on improved damage identification factor and genetic algorithm under noise[J]. Journal of Vibration and Shock, 2012, 31(21):168-174.(in Chinese)
[11]  张瑞刚,郭利,王天辉,等.运用改进的量子遗传算法进行结构损伤识别[J].噪声与振动控制, 2013, 33(3):203-207. ZHANG Ruigang, GUO Li, WANG Tianhui, et al. Application of improved quantum genetic algorithm for structure damage identification[J]. Noise And Vibration Control, 2013, 33(3):203-207.(in Chinese)
[12]  赵玲,李爱群.基于神经网络技术的斜拉桥损伤分步识别方法[J].公路交通科技, 2009, 26(9):70-75. ZHAO Ling, LI Aiqun. Step-by-step detection for damage in cable-stayed bridges based on neural network technology[J]. Journal of Highway and Transportation Research and Development, 2009, 26(9):70-75.(in Chinese)

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